ADAN 7735 Visual Analytics

Name: Visual Analytics
Rating: 4.4 (20 reviews)

This course is about the creation of high-quality data visualizations consistent with theory and best practice. The material emphasizes the application of theory to answer analytical and research questions. Students will use R, Python, Excel, R-Shiny, and other tools to produce production-quality static and dynamic visualizations from various data (including big data).

Course overview

Department: Advancing Studies
School: ADV
Credits: 3
Level: Graduate
Offered: Periodically

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.40 / 5

Based on 20 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Lawrence Fulton
Spring 2026, Fall 2025 · Official rating 4.60/5

Sections

No current section details are available.